Liberalism, Nationalism, and uses of the Word Citizenship: Canadian Discourses
Notice bibliographique
Résumé
The word citizenship is a keyword in many political debates, as well as legislation and public policy. Citizenship studies scholars debate the meaning, extent and effects of citizenship and these debates have intensified in recent years. This dissertation takes a different approach; it explores how the term citizenship is used in selected discourses. By treating citizenship as a word and examining its uses, rather than treating citizenship as a socially constructed being or concept, the following dissertation departs from much work in contemporary citizenship studies. While many scholars are engaged in debates over what citizenship is or should be, I will argue that if one accepts the precepts of these debates, one mistakenly attributes being to citizenship and thereby reinforce hegemonic uses of this word. To examine citizenship as a term in influential discourses, I begin with canonical texts of political theory before turning to uses of the word citizenship in selected Canadian discourses: for example, in discourses that speak of “Canadian citizenship,” or “Canada as a country of equal citizens.” Close readings of discourses that employ the words “citizenship” and “Canada” together reveal how citizenship is frequently enunciated as a political identity; as something a person can gain or be denied; and as related to national “sovereignty.” Within this context, the dissertation focuses on three key questions: 1) How do common uses of the term citizenship lead individuals to think about themselves and others as political actors? 2) How do the discourses examined justify the way the label “citizen” is assigned to some, but withheld from others? 3) How do the discourses examined relate “citizenship” to “nation” and to “sovereignty”? In responding to these questions a specific thesis will be defended; namely, that the discourses examined consistently posit that citizenship is an “artificial” creation (a product of social action, laws and policy), and that Canadian citizenship is often defined by contrasting it with “naturalized” forms of identity such as race and ethnicity. In making this argument, this dissertation makes a contribution to social and political thought by focusing critical analysis upon the notion that citizenship is an artificial being or construct. To repeat, from the perspective adopted in this dissertation, citizenship is just a word, and when we treat citizenship as artificial we mistakenly attribute existence to citizenship. Adopting the perspective that citizenship is just a word, rather than an artificial being, raises the possibility of attending to how this word is used to shape the way we think of ourselves and others, to introduce categorical divisions into human populations, to authorize distinct legal processes and entitlements for distinctly categorized persons (e.g. citizens and non-citizens), and to present fictions of well-ordered, even sovereign, nation-states. Indeed, the conclusion argues that treating citizenship as a word opens the possibility of asking why citizenship is a central term in contemporary political discourses and whether we really want it to be. Questioning the word citizenship and the consequences of its uses is important because doing so may foster political interventions that attend to what happens to bodies coded as non-citizens, to local communities as opposed to statist projects, and to material realities more than political artifices.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,009 | 0,014 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,005 | 0,012 |
| Études des sciences et des technologies | 0,065 | 0,051 |
| Communication savante | 0,019 | 0,007 |
| Science ouverte | 0,002 | 0,007 |
| Intégrité de la recherche | 0,004 | 0,007 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».